The Role of Skin Absorption as a Route of Exposure to Volatile Organic Compounds in Household Tap Water: A Simulated Kinetic Approach

Pharmacokinetic Modeling to Simulate the Concentration-Time Profiles After Dermal Application of Rivastigmine Patch

Rivastigmine is an inhibitor of acetylcholinesterases and butyrylcholinesterases for symptomatic treatment of Alzheimer disease and is available as oral and transdermal patch formulations. A dermal absorption pharmacokinetic (PK) model was developed to simulate the plasma concentration-time profile of rivastigmine to answer questions relative to the efficacy and safety risks after misuse of the patch (e.g., longer application than 24 h, multiple patches applied at the same time, and so forth). The model comprised 2 compartments which was a combination of mechanistic dermal absorption model and a basic 1-compartment model. The initial values for the model were determined based on the physicochemical characteristics of rivastigmine and PK parameters after intravenous administration. The model was fitted to the clinical PK profiles after single application of rivastigmine patch to obtain model parameters. The final model was validated by confirming that the simulated concentration-time curves and PK parameters (Cmax and area under the drug plasma concentration-time curve) conformed to the observed values and then was used to simulate the PK profiles of rivastigmine. This work demonstrated that the mechanistic dermal PK model fitted the clinical data well and was able to simulate the PK profile after patch misuse.

Multi-route trihalomethane exposure in households using municipal tap water treated with chlorine or ozone-chlorine

In Korea, data for multi-route trihalomethane (THM) exposure in households using municipal tap water treated with ozone-chlorine or chlorine are unavailable or very limited. Accordingly, the present study was designed to obtain those data by measurements of the THM concentrations in the tap water and indoor and outdoor air in the two types of households, along with an estimation of THM exposure from water ingestion, showering, and the inhalation of indoor air. Chloroform was the most abundant THM in all three media, yet no bromoform was detected in any sample. Similar to previous findings, the winter chloroform concentration in tap water treated with chlorine (22.1 microg/l, median) was significantly higher than that in the tap water treated with ozone-chlorine (16.8 microg/l, median). However, the summer water chloroform concentrations and summer and winter water concentrations of the other two THMs (bromodichloromethane and dibromochloromethane) exhibited no significant difference between the chlorine and ozone-chlorine-treated water. It was suggested that the effects of the water parameters including biochemical oxygen demand of raw water entering water treatment plants should be considered when evaluating the advantage of ozone-chlorine disinfection for THM formation over chlorine disinfection. The indoor air THM concentration trend was also consistent with the water concentration trend. The indoor to outdoor air concentration ratios were comparable with previous studies. The THM exposure estimates from water ingestion, showering, and the inhalation of apartment indoor air when not in the shower suggested that, for residents living in the surveyed households, their exposure to THMs in the home was mostly associated with their household water uses. The THM exposure estimates from tap water ingestion were similar to those from showering.

Pharmacokinetic models of dermal absorption

Many studies have used pharmacokinetic (compartment) models for skin to predict or analyze dermal absorption of chemicals. Comparing these models is difficult because the relationships between rate constants and the physicochemical parameters were not always defined clearly, simplifying assumptions built into models sometimes were not stated, and which skin layers were included often were not specified. In this paper we review and compare published one- and two-compartment models for which rate constants were expressed in terms of the physicochemical and physical properties of the skin (i.e., diffusion coefficients, partition coefficients and thickness). Nine one-compartment and two two-compartment models are presented with a consistent nomenclature and clearly defined assumptions. In addition, methods used for estimating the physicochemical parameters required by the various are summarized. These eleven compartment models are compared with calculations from a two-membrane skin model that corresponds better with skin function. Many of the compartment models do not predict key characteristics of the two-membrane skin model, especially the effect of blood flow on skin concentration and penetration rates, even when the same input parameters were used. The compartment models developed by Kubota and by McCarley are better predictors of the two-membrane model results, because these models were developed to match characteristics of the membrane model.

Physiologically relevant one-compartment pharmacokinetic models for skin. 1. Development of models

Many studies have used pharmacokinetic (compartment) models for skin to predict or analyze absorption of chemicals through skin. In these studies, several different definitions of the rate constants were used. The purpose of this study was to develop a general procedure for relating compartment model rate constants to dermal absorption parameters, such as permeability and partition coefficients, and to assess whether different definitions of the rate constants produce different results. Rate constant expressions were developed by requiring a one-compartment model to match a one-membrane model at specific conditions. Because a membrane model contains more information than a compartment model, a compartment model cannot match the membrane model in all respects. Consequently, many compartment models (i.e., different definitions of the rate constants) can be developed which match the membrane model for different conditions. Using this procedure, 11 different compartment models were developed and compared to the membrane model for four different dermal absorption scenarios. The compartment model that most closely matches the membrane model depends on the specific exposure scenario and what is to be predicted. One of the new compartment models agrees reasonably well with the membrane model, for the cases considered.

Physiologically relevant one-compartment pharmacokinetic models for skin. 2. Comparison of models when combined with a systemic pharmacokinetic model

Transport of chemicals through skin is best modeled as passive diffusion through a membrane, but mathematical solutions for realistic conditions are cumbersome. Compartment models, representing skin as a stirred tank, are mathematically simpler but less physiologically relevant. In a previous paper, several different compartment models were developed assuming constant blood and vehicle concentrations. Here, five skin models (four of the previously described compartment models and one membrane model) are combined with a one-compartment systemic pharmacokinetic (PK) model to examine the effects of changing vehicle and blood concentrations and to clarify how differences between skin models affect the predicted systemic response. The skin-PK models were solved with the same input parameters (i.e., permeability coefficients, partition coefficients, skin thickness, and cutaneous blood flow rates) and compared for five different exposure scenarios. Because the models have different underlying assumptions, they do predict different results. For many exposure situations compartment models give acceptable results, with the most pronounced differences from the membrane model during short exposure times. Generally, the compartment model that most closely represents the membrane model was developed by forcing it to match the membrane model for conditions similar to those of the given exposure scenario.

Exposure in a household using gasoline-contaminated water

Contamination of drinking water with petroleum products is an increasingly common problem. Physicians are often asked to advise patients about such exposures. This study assessed household exposure from gasoline-contaminated drinking water in a New England household. A sampling strategy was designed to estimate inhalation and ingestion exposure to benzene and three other aromatic hydrocarbons typically found in gasoline-contaminated water. The estimated inhaled doses of all agents were similar to the estimated ingested dose. Over half the inhaled dose of all four agents was associated with shower activities as was over half the estimated total dose by all routes of exposure. Under these conditions, discontinuing ingestion of water contaminated with these agents may decrease the dose of benzene by less than one third, whereas discontinuing both ingestion and showering may decrease the dose of benzene by over three quarters. This limited study suggests that routes of exposure other than ingestion are important and should receive attention in the regulatory and risk-assessment process.

A compartmental model for the prediction of breath concentration and absorbed dose of chloroform after exposure while showering

In order to predict the exhaled breath concentration of chloroform in individuals exposed to chloroform while showering, an existing physiologically based pharmacokinetic (PB-PK) model was modified to include a multicompartment, PB-PK model for the skin and a completely mixed shower exposure model. The PB-PK model of the skin included the stratum corneum as the principal resistance to absorption and a viable epidermis which is in dynamic equilibrium with the skin microcirculation. This model was calibrated with measured exhaled breath concentrations of chloroform in individuals exposed while showering with and without dermal absorption. The calibration effort indicated that the expected value of skin-blood partitioning coefficient would be 1.2 when the degree of transfer of chloroform from shower water into shower air was 61%. The stratum corneum permeability coefficient for chloroform was estimated to be within the range of 0.16-0.36 cm/hr and the expected value was 0.2 cm/hr. The estimated ratio of the dermally and inhaled absorbed doses ranged between 0.6 and 2.2 and the expected value was 0.75. These results indicate that for the purposes of risk assessment for dermal exposure to chloroform, a simple steady-state model can be used to predict the degree of dermal absorption and that a reasonable value of skin permeability coefficient for chloroform used in this model would be 0.2 cm/hr. Further research should be conducted to compare the elimination of chloroform via exhaled breath when different exposure routes are being compared. The model results from this study suggest that multiple measurements of exhaled breath concentrations after exposure may be necessary when making comparisons of breath concentrations that involve different exposure routes.

Routes of chloroform exposure and body burden from showering with chlorinated tap water

While there is an awareness of the need to quantify inhalation exposure from showers, the potential for dermal exposure to organic contaminants in showers has not been appreciated or explored. To establish routes of environmental exposure from showers, comparisons of the concentration of chloroform in exhaled breath after a normal shower with municipal tap water were made with those after an inhalation-only exposure. The postexposure chloroform breath concentrations ranged from 6.0-21 micrograms/m3 for normal showers and 2.4 to 10 micrograms/m3 for inhalation-only exposure, while the pre-exposure concentrations were all less than the minimum detection limit of 0.86 micrograms/m3. According to an F-test, the difference between the normal shower and the inhalation-only exposures was considered significant at a probability of p = 0.0001. Based on the difference, the mean internal dose due to dermal exposure was found to be approximately equal to that due to the inhalation exposure. The effect of the showering activities on the concentration of chloroform shower air was examined by comparing air concentrations during a normal shower with the air concentrations obtained when the shower was unoccupied. The F-test showed that there is no significant difference between the two sets of data.